AI Training Data Software Developer

4 weeks ago

Québec, Quebec, Canada G2i Inc. Full time

Technical Expertise Required

Your primary programming language is flexible; however, we are particularly interested in engineers proficient in Python. Willingness to learn and work with Swift is essential, although prior experience with Swift is not mandatory.

Geographical Flexibility

We welcome applications from candidates in the US, Canada, and various countries across LATAM and Europe. We also consider select nations in Africa and Asia. This position is entirely remote.

Position Summary

We are on the lookout for Developers to fill project-specific roles centered around Reinforcement Learning from Human Feedback (RLHF). This position is integral to our RLHF initiatives, contributing to innovative projects.

As part of an expert annotation team, you will be tasked with generating training data for leading AI models. Previous experience in AI is not a prerequisite. This is an opportunity to enter the field with one of the foremost companies in the AI/LLM sector today. We are looking for software engineers with over 4 years of experience to assist in training large language models, enhancing the capabilities of advanced generative AI systems. Projects will typically involve diverse, complex challenges that require interaction with these models as they evolve in coding proficiency. We currently have over 200 roles available.

Key Responsibilities

  • Assessing the quality of AI-generated code, including providing human-readable explanations of your reasoning.
  • Addressing coding challenges and writing effective, functional code.
  • Developing comprehensive test cases to ensure code operates efficiently and effectively.
  • Tackling coding tasks, crafting instructional materials for others, and reviewing code prior to its integration into the model, with a variety of projects ranging from code comparisons to complete mobile application development.

Contractual Details

  • The duration of this project is anticipated to extend until the end of September, with opportunities to engage in additional projects (though likely not in Swift).
  • You have the option to terminate the contract at any time.

Work Schedule Flexibility

  • Developers have the autonomy to establish their own working hours; ideal candidates should be willing to commit to 15+ hours weekly. High-performing individuals will adjust to project demands and maintain engagement, while enjoying significant flexibility in their schedules.
  • Feel free to take a 3-hour lunch break; compensation is based on time spent on the platform, calculated through coding exercises rather than tracking hours worked.
Compensation Structure
  • US: $50/hr
  • Brazil: $28.70/hr
  • Egypt: $22.05/hr
  • Philippines: $25.55/hr
  • All other countries: $35/hr
  • The expectation is a minimum of 15 hours per week, with no upper limit. Some engineers work between 20-40 hours weekly or more. Payments are processed weekly based on hours worked on the platform.

Interview Process Overview

We have designed a streamlined 3.5-hour screening and onboarding process for the Software Engineer for AI Training Data role, which can typically be completed within a week. Most steps are conducted asynchronously, reflecting the nature of RLHF work, which is often self-guided. Upon application, if you meet the qualifications, you will gain access to the G2i dashboard to navigate this straightforward screening process.

Step 1: Gain in-depth knowledge about the role (35 min)

Step 2: Conduct a basic RLHF code review (35 min)

Step 3: Obtain platform credentials, complete ID verification (5 min), and select your project (30 min).

Step 4: Execute a production-level RLHF task (75 min) - this serves as the final interview.

Final Assignment: Based on your performance in the final interview, you will be assigned to an RLHF project that matches your skill level.


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